Contact List Testing Checklist (2026)

The Contact List Testing Checklist (2026) begins with verifying that the core workflow of creating, viewing, editing, and deleting contacts works as expected under normal conditions. A happy‑path test

May 16, 2026 · 15 min read · Testing Checklists

Contact List Testing Checklist (2026): Happy Path Tests

The Contact List Testing Checklist (2026) begins with verifying that the core workflow of creating, viewing, editing, and deleting contacts works as expected under normal conditions. A happy‑path test ensures that the feature delivers value to the majority of users without encountering obstacles.

1.1 Create a new contact

1.2 View contact details

1.3 Edit an existing contact

1.4 Delete a contact

1.5 Search and filter

1.6 Favorite / star toggle

1.7 Bulk operations

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Contact List Testing Checklist (2026): Error Handling and Validation

Beyond the happy path, a robust contact list must gracefully manage invalid input, system failures, and unexpected user behavior.

2.1 Mandatory field validation

2.2 Duplicate detection

2.3 Invalid phone number formats

2.4 Special characters and Unicode

2.5 Network loss during save

2.6 Storage permission denial

2.7 Long‑press accidental trigger

2.8 Graceful degradation when database is corrupted

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Contact List Testing Checklist (2026): Edge and Boundary Cases

Edge cases expose limits that are rarely hit in everyday in rare circumstances cause data loss or UI glitches.

3.1 Maximum contact count

3.2 Very long name fields

3.3 Phone number with extensions and pauses

3.4 Contact without a phone number (email‑only)

3.5 Mixed‑type fields (photo, notes, birthday)

3.6 Rapid successive actions

3.7 Orientation change mid‑flow

3.8 Accessibility‑focus order disruption

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Contact List Testing Checklist (2026): Accessibility (WCAG) Checks

Ensuring the contact list is usable by people with disabilities is not optional; it expands reach and satisfies legal requirements.

4.1 Touch target size

4.2 Color contrast

4.3 Screen‑reader labels

4.4 Dynamic type / font scaling

4.5 Reduced motion

4.6 Closed captions for media

4.7 Accessibility shortcuts

4.8 Language and locale

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Contact List Testing Checklist (2026): Security and Privacy Considerations

A contact list often stores personal data that must be protected from unauthorized access and leakage.

5.1 Data at rest encryption

5.2 Transmission security

5.3 Permission granularity

5.4 Contact sharing safeguards

5.5 Biometric lock for sensitive actions

5.6 Audit logging

5.7 Data minimization

5.8 Secure deletion

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Contact List Testing Checklist (2026): Performance and Scalability

Even a simple contact list must remain responsive under load, low‑memory conditions, and on a variety of hardware.

6.1 Launch time with empty list

6.2 Scrolling performance with 5 000 contacts

6.3 Memory usage during bulk import

6.4 Battery impact of background sync

6.5 Network‑offline resilience

6.6 Frame‑time consistency during search

6.7 Startup after system‑provided low‑memory kill

6.8 Battery‑optimization mode compatibility

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Contact List Testing Checklist (2026): Release Readiness and Regression

Before shipping, the team must verify that the feature integrates cleanly with the rest of the product, that documentation matches behavior, and that automated guards are in place.

7.1 Version‑control changelog compliance

7.2 Automated UI test coverage

7.3 Regression baseline with SUSA

7.4 Documentation sync

7.5 Feature flag rollout verification

7.6 Crash‑free user sessions (CFUS) target

7.7 Performance budget adherence

7.8 Release‑note test‑case mapping

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Applying Autonomous Exploration with SUSA to Cover the Checklist

Modern QA teams increasingly rely on tools that can exercise an application without hand‑written scripts, surfacing many of the checklist items in a single pass.

8.1 How SUSA explores a contact list

When you point SUSA at an Android APK (or a web URL that loads a contacts‑style SPA), the agent builds a behavior model from a set of personas: curious, impatient, novice, power‑user, and accessibility‑focused. Each persona drives interactions that map directly to checklist categories:

PersonaTypical actionsChecklist areas exercised
CuriousLong‑press every UI element, open overflow menus, try every iconError handling, edge cases, accessibility
ImpatientRapid taps, swipe‑away attempts, back‑button spammingPerformance, race conditions, stability
NoviceFollows on‑boarding hints, uses only primary buttonsHappy path, onboarding clarity
Power‑userUses shortcuts, bulk select, drag‑to‑reorderBulk ops, performance, edge cases
Accessibility‑focusedRelies on TalkBack/VoiceOver, changes font size, enables high contrastWCAG checks, dynamic type, reduced motion

During exploration, SUSA records every screen transition, logs network calls, and captures UI hierarchy snapshots. The agent then evaluates each observed state against a rule set that mirrors the checklist:

8.2 Example of a SUSA‑generated finding

Suppose the agent, acting as the “impatient” persona, taps the “Add Contact” button five times within 200 ms. The app, lacking debounce logic, creates five identical draft contacts. Susa flags this as a potential duplicate‑creation issue under the *Error handling* section, providing:

8.3 Generating regression scripts from exploration

After a run, SUSA can export the discovered flows as Appium (Android) or Playwright (Web) test scripts. For the contact‑list flow “add → edit → delete”, the generated Appium Java snippet looks like:


@Test
public void testAddEditDeleteContact() {
    // Arrange
    driver.findElement(By.id("fab_add_contact")).click();
    driver.findElement(By.id("input_first_name")).sendKeys("Ada");
    driver.findElement(By.id("input_last_name")).sendKeys("Lovelace");
    driver.findElement(By.id("input_phone")).sendKeys("+1-555-0123");
    driver.findElement(By.id("btn_save")).click();

    // Act – verify happy path
    Assert.assertTrue(driver.findElement(By.xpath("//android.widget.TextView[@text='Ada Lovelace']")).isDisplayed());

    // Edit
    driver.findElement(By.xpath("//android.widget.TextView[@text='Ada Lovelace']")).click();
    driver.findElement(By.id("menu_edit")).click();
    driver.findElement(By.id("input_phone")).clear();
    driver.findElement(By.id("input_phone")).sendKeys("+1-555-0123-456");
    driver.findElement(By.id("btn_save")).click();

    // Assert – edited number appears
    Assert.assertTrue(driver.findElement(By.xpath("//android.widget.TextView[contains(@text,'+1-555-0123-456')]")).isDisplayed());

    // Delete – swipe
    MobileElement contactRow = (MobileElement) driver.findElement(By.xpath("//android.widget.TextView[@text='Ada Lovelace']/.."));
    new TouchAction(driver)
        .press(PointOption.point(contactRow.getCenter().getX(), contactRow.getCenter().getY()))
        .waitAction(WaitOptions.waitOptions(Duration.ofMillis(500)))
        .moveTo(PointOption.point(contactRow.getCenter().getX() - 500, contactRow.getCenter().getY()))
        .release()
        .perform();
    driver.findElement(By.id("btn_confirm_delete")).click();

    // Assert – contact removed
    Assert.assertFalse(driver.findElements(By.xpath("//android.widget.TextView[@text='Ada Lovelace']")).isEmpty());
}

The same flow can be exported to Playwright TypeScript for a web version:


test('add edit delete contact', async ({ page }) => {
  await page.click('#fab-add-contact');
  await page.fill('#input-first-name', 'Ada');
  await page.fill('#input-last-name', 'Lovelace');
  await page.fill('#input-phone', '+1-555-0123');
  await page.click('#btn-save');

  await expect(page.locator('text=Ada Lovelace')).toBeVisible();

  await page.click('text=Ada Lovelace');
  await page.click('#menu-edit');
  await page.fill('#input-phone', '+1-555-0123-456');
  await page.click('#btn-save');

  await expect(page.locator('text=+1-555-0123-456')).toBeVisible();

  await page.locator('text=Ada Lovelace').hover();
  await page.locator('text=Ada Lovelace').dispatchEvent('dblclick');
  await page.click('#btn-delete');
  await page.click('#btn-confirm-delete');

  await expect(page.locator('text=Ada Lovelace')).not.toBeVisible();
});

These scripts become part of the CI pipeline, ensuring that any regression in happy‑path, error handling, or accessibility is caught before release.

8.4 Coverage metrics from a SUSA run

A typical 15‑minute autonomous session on a mid‑tier Android device yields the following approximate coverage of the checklist:

Checklist category% of items observed by SUSAComments
Happy path92 %Most core flows exercised; a few deep‑nesting settings missed.
Error handling78 %Validation and duplicate detection captured; rare permission‑denial paths need manual triggers.
Edge / boundary65 %Large‑count and Unicode scenarios appear; extreme stress (e.g., 100 k contacts) requires dedicated scripts.
Accessibility81 %Contrast, touch target, and screen‑reader labels auto‑checked; custom gestures need persona tweaks.
Security/privacy70 %Network encryption and permission usage logged; data‑at‑rest encryption verified via file‑system checks.
Performance74 %Launch time, scroll jank, and memory sampled; battery impact needs longer profiling.
Release readiness50 %Changelog and documentation sync are manual; test‑case mapping can be derived from exported scripts.

The numbers illustrate that autonomous exploration handles the majority of functional and non‑functional checks, leaving a focused set of manual or scripted tasks for the QA lead to complete.

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Key Takeaways

By adopting this checklist, teams gain a repeatable, evidence‑based process that guarantees the contact list remains reliable, inclusive, secure, and performant across the diverse device and user landscape of 2026.

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*End of article.*

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